ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gcappon from gravatar.com gcappon

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3)
  • Author: Giacomo Cappon
  • Requires: Python >=3.9
Classifiers

Project description

PyReplayBG

The official Python porting of the ReplayBG software: https://github.com/gcappon/replay-bg/.

License: GPL v3 GitHub commit

ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.

Reference

G. Cappon, M. Vettoretti, G. Sparacino, S. Del Favero, A. Facchinetti, "ReplayBG: a digital twin-based methodology to identify a personalized model from type 1 diabetes data and simulate glucose concentrations to assess alternative therapies", IEEE Transactions on Biomedical Engineering, 2023, DOI: 10.1109/TBME.2023.3286856.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gcappon from gravatar.com gcappon

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3)
  • Author: Giacomo Cappon
  • Requires: Python >=3.9
Classifiers

Release history Release notifications | RSS feed

0.1.3

0.1.2

0.1.1

0.1.0

0.0.16

0.0.15

This version

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_replay_bg-0.0.14.tar.gz (54.9 kB view details)

Uploaded Source

Built Distribution

py_replay_bg-0.0.14-py3-none-any.whl (59.8 kB view details)

Uploaded Python 3

File details

Details for the file py_replay_bg-0.0.14.tar.gz.

File metadata

  • Download URL: py_replay_bg-0.0.14.tar.gz
  • Upload date:
  • Size: 54.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.7

File hashes

Hashes for py_replay_bg-0.0.14.tar.gz
Algorithm Hash digest
SHA256 84fda050908aaeffdf21dae768a3f505a2245735652185feebbf0fea06eeb3aa
MD5 0680fe012843d0daf0afc000a985c3b4
BLAKE2b-256 c41c064e8262ae6737d863ae1297d64c8c91100c8a3644b397afac1d2c50ac2f

See more details on using hashes here.

File details

Details for the file py_replay_bg-0.0.14-py3-none-any.whl.

File metadata

File hashes

Hashes for py_replay_bg-0.0.14-py3-none-any.whl
Algorithm Hash digest
SHA256 edfd00bb7862f3247cf6478e68212098d9e66fb53dedb917ae9f13871591aaad
MD5 77e869956ad12f65f365c0d5cd7aeadf
BLAKE2b-256 de36b50a6dcc1bed068ea4ede8d2efbceb176ac71a7061905ae8dcd39e1f4b33

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page